Senior Manager of Data Science Production Engineering, DevOps

About the Role

Lead a DevOps team at Natera, a global leader in precision medicine and genomics testing. Work with ultra-large data sets (up to petabyte scale), cutting-edge cloud technologies, and medical diagnostics applications to deliver reliable, high-performance data, cloud, and automation systems that support Natera's Lab Operations, Genetic Counselor, and Lab Director teams—ultimately impacting patient medical outcomes.

Responsibilities

• Leadership
  • Lead a DevOps team to develop, test, deploy, maintain, and update data platforms, cloud platforms, automation systems, and analytics systems.
  • Manage the team to ensure timely and efficient delivery of software products with robust functionality.
  • Train and coach team members on new technologies, procedures, and best practices.
  • Create and maintain operational visibility (e.g., workload, productivity) of the DevOps team.
• Technical
  • Translate business needs and project requirements into technical specifications and implementation plans.
  • Collaborate with DSPE leadership to create system architecture and infrastructure design documents.
  • Maintain and optimize infrastructure performance, monitoring key metrics (network I/O, disk I/O, memory, compute).
  • Contribute to development, testing, deployment, validation, maintenance, and updates of systems.
• Quality, Compliance, and Documentation
  • Improve and enforce procedures for efficiency, quality, and compliance.
  • Lead the creation and maintenance of technical documentation (design specs, V&V protocols/reports, deployment records, user guides).
  • Develop training materials and contribute to training activities for DevOps-owned tools and systems.
• Cross-Functional
  • Engage proactively with engineering and operational stakeholders to align infrastructure roadmaps and resolve dependencies.
  • Represent the DSPE DevOps team in stakeholder meetings.

Requirements

• Bachelor’s degree in Computer Science, Software Engineering, Bioinformatics, or a related field (advanced degrees preferred).
• Minimum 10 years of relevant industry experience (8 years with a Master’s, 4 years with a Doctorate).
• Minimum 3 years of experience in a highly regulated environment (e.g., CLIA and/or FDA-compliant settings).
• Minimum 3 years of management experience leading a DevOps or software development team.
• Experience designing, delivering, and maintaining custom software tools/systems in production environments (preferably high-throughput).
• Experience creating software design specifications, verification/validation documents, and user manuals.

Skills

• Excellent Python programming skills with cloud application or automation system development experience.
• Proficiency with RDBMS (PostgreSQL/MySQL) and production database-based application development.
• Working knowledge of optimizing system architecture for performance, scalability, and reliability.
• Proficiency in system performance evaluation and understanding of RAM, disk I/O, and network I/O impacts.
• Proficiency with AWS and experience developing production software using AWS services.
• Proficiency in SDLC and software development/testing methodologies.
• Strong Linux command-line skills and Linux application development experience.
• Experience with genomics and bioinformatics technologies, including genomics data (FASTQ, BAM, VCF files).
• Proficiency in Git workflow and version control systems (GitHub/GitLab).
• Experience developing automation solutions.
• Preferred: IaC skills (CloudFormation, Terraform, Ansible).
• Strong documentation practices and coding style.
• Excellent verbal and written communication skills.
• Strong interpersonal skills and integrity.
• Collaborative team player.

Pay

Remote USA: $151,000—$188,700 USD. Actual compensation is based on factors such as skill set, experience, certifications, and location.

Benefits

• Comprehensive medical, dental, vision, life, and disability plans for employees and dependents.
• Free genetic testing for employees and immediate families.
• Fertility care benefits.
• Pregnancy and baby bonding leave.
• 401k benefits.
• Commuter benefits.
• Generous employee referral program.